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Modeling and Simulation of Systems Using MATLAB and Simulink
Modeling and Simulation of Systems Using MATLAB and Simulink

Not only do modeling and simulation help provide a better understanding of how real-world systems function, they also enable us to predict system behavior before a system is actually built and analyze systems accurately under varying operating conditions. Modeling and Simulation of Systems Using MATLAB® and...

Linear Genetic Programming (Genetic and Evolutionary Computation)
Linear Genetic Programming (Genetic and Evolutionary Computation)
Linear Genetic Programming presents a variant of genetic programming (GP) that evolves imperative computer programs as linear sequences of instructions, in contrast to the more traditional functional expressions or syntax trees. Primary characteristics of linear program structure are exploited to achieve acceleration of both execution time and...
Genetic Algorithms in Java Basics
Genetic Algorithms in Java Basics

Genetic Algorithms in Java Basics is a brief introduction to solving problems using genetic algorithms, with working projects and solutions written in the Java programming language. This brief book will guide you step-by-step through various implementations of genetic algorithms and some of their common applications, with the aim to...

Evolutionary Computation
Evolutionary Computation
Choice Outstanding Academic Title, 2006

Evolutionary computation, the use of evolutionary systems as computational processes for solving complex problems, is a tool used by computer scientists and engineers who want to harness the power of evolution to build useful new artifacts, by biologists interested in
...
Advances in Evolutionary Computing for System Design (Studies in Computational Intelligence)
Advances in Evolutionary Computing for System Design (Studies in Computational Intelligence)
Evolutionary computing paradigms offer robust and powerful adaptive search mechanisms for system design. This book includes thirteen chapters covering a wide area of topics in evolutionary computing and applications including: Introduction to evolutionary computing in system design; evolutionary neuro-fuzzy systems; evolution of fuzzy controllers;...
An Introduction to Genetic Algorithms (Complex Adaptive Systems)
An Introduction to Genetic Algorithms (Complex Adaptive Systems)
Science arises from the very human desire to understand and control the world. Over the course of history, we
humans have gradually built up a grand edifice of knowledge that enables us to predict, to varying extents, the
weather, the motions of the planets, solar and lunar eclipses, the courses of diseases, the rise and fall of...
Probability Theory: A Comprehensive Course (Universitext)
Probability Theory: A Comprehensive Course (Universitext)

This second edition of the popular textbook contains a comprehensive course in modern probability theory. Overall, probabilistic concepts play an increasingly important role in mathematics, physics, biology, financial engineering and computer science. They help us in understanding magnetism, amorphous media, genetic diversity and the perils...

Computational Intelligence: Engineering of Hybrid Systems
Computational Intelligence: Engineering of Hybrid Systems

Hybrid Intelligent Systems has become an important research topic in computer science and a key application field in science and engineering. This book offers a gentle introduction to the engineering aspects of hybrid intelligent systems, also emphasizing the interrelation with the main intelligent technologies such as genetic algorithms –...

Evolution in Four Dimensions: Genetic, Epigenetic, Behavioral, and Symbolic Variation in the History of Life (Life and Mind: Philosophical Issues in Biology and Psychology)
Evolution in Four Dimensions: Genetic, Epigenetic, Behavioral, and Symbolic Variation in the History of Life (Life and Mind: Philosophical Issues in Biology and Psychology)

This new edition of the widely read Evolution in Four Dimensions has been revised to reflect the spate of new discoveries in biology since the book was first published in 2005, offering corrections, an updated bibliography, and a substantial new chapter. Eva Jablonka and Marion Lamb's pioneering argument proposes that there is more...

Fuzzy Control Systems
Fuzzy Control Systems
Must reading for anyone interested in acquiring a thorough understanding of fuzzy logic, its role in soft computing, and its application to control and related fields.

-Lotfi A. Zadeh
From the Foreword

Fuzzy Control Systems explores one of the most active areas of research involving fuzzy set theory. The
...
RNA and DNA Editing: Methods and Protocols (Methods in Molecular Biology)
RNA and DNA Editing: Methods and Protocols (Methods in Molecular Biology)

The recent expansion in diversity of RNA and DNA editing types has stimulated the development of many unique genetic, molecular, biochemical, and computational approaches to biological issues.  In RNA and DNA Editing: Methods and Protocols, leading experts in the field introduce methods developed over the last few years to study...

The Design and Analysis of Efficient Learning Algorithms (ACM Doctoral Dissertation Award)
The Design and Analysis of Efficient Learning Algorithms (ACM Doctoral Dissertation Award)

Approaches to building machines that can learn from experience abound - from connectionist learning algorithms and genetic algorithms to statistical mechanics and a learning system based on Piaget's theories of early childhood development. This monograph describes results derived from the mathematically oriented framework of computational...

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